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AI, AI in WordPress

6 AI production trade-offs that show up after launch

Six trade-offs that decide whether an AI feature survives production: what a cheap API really costs at scale, why a complex model gets expensive 18 months later, and when batch inference beats real-time.

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AI, Development

Credit scoring categorization: how to bin risk variables

Raw variables are rarely the best way to represent risk. How binning and Weight of Evidence keep a logistic regression stable and interpretable, and why missing income is a risk category of its own.

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AI in WordPress, Core Updates, Development

WordCamp US 2026 tickets are on sale for the Phoenix event

WordCamp US 2026 runs August 16 to 19 at the Phoenix Convention Center. The schedule covers Contributor Day, Showcase Day, and two days of sessions on WordPress and AI. Ticket tiers run from $25 for students to $750 for micro-sponsors.

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AI, Core Updates, Development

WordPress 7.0 features and what they mean for developers

WordPress 7.0 brings a provider-agnostic AI client, PHP-only block registration with autoRegister, and a minimum PHP 7.4. This is a practical walk through those changes, with code examples and where they help on real sites.

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AI, AI in WordPress

Why your AI coding assistant drifts into the wrong language

Mixing technical English tokens like run.py can push an AI coding assistant to drift in the embedding space, sometimes replying in Korean when prompted in Chinese. How task registers shape the behavior, and how to keep your prompts grounded.

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AI, Development

Build an LLM evaluation system that catches hallucinations

A scoring layer that measures attribution and specificity, so you can catch confident hallucinations instead of trusting responses that just sound right. Includes the Python logic and a regression suite for CI.

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AI, Development

Why flat RAG fails on complex enterprise documents

Flat RAG breaks on complex documents like contracts and research papers because it flattens away their structure. Proxy-Pointer RAG uses structure-aware retrieval and breadcrumb embeddings to keep that hierarchy intact when comparing them.

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AI, Development

Inside OpenAI’s 131,000-GPU AI training fabric

OpenAI’s MRC protocol runs their 131,000-GPU training fabric by disabling BGP and OSPF and pushing routing intelligence to the endpoints. A look at how “dumb” switches and a lossy Ethernet design cut the tail latency that stalls massive GPU clusters.

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AI, AI in WordPress, Development

LLM evaluation for WordPress AI agents, beyond vibe checks

Vibe checks do not scale. Here is how to score a WordPress AI agent on five measurable dimensions, accuracy, reliability, latency, cost, and business impact, using golden datasets and the LLM-as-a-judge pattern to move from fragile demos to production.

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AI

Supervised fine-tuning for LLM personas: first-person wins

Instructions alone will not give a model an identity. Three ways to train one persona into a small model, and why first-person statements generalized better than chat demonstrations or factual documents.

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